AWS Cloud Consulting Solution

About 4044 wordsAbout 13 min

2026-04-07

In the process of enterprise digitalization and rapid business growth, the migration of IT infrastructure from "self-built servers" to "cloud computing platforms" has become an inevitable trend.

Ten years ago, it was common practice for enterprises to purchase servers, rent cabinets, and build their own computer rooms. However, the problems with this approach have become increasingly prominent: the hardware procurement cycle is long, often taking months from selection and bidding to deployment; there is insufficient server capacity during business peaks and idle waste during business troughs; and a dedicated operation and maintenance team is required to handle hardware failures, system patches, and security protection. The emergence of cloud computing has completely changed this situation. Cloud platforms represented by AWS provide nearly unlimited elastic computing resources, pay-as-you-go billing, and global coverage.

However, moving to the cloud does not automatically bring benefits. Many enterprises directly "lift and shift" applications from physical machines to virtual machines in the cloud, only to find that costs are actually higher and performance has not improved significantly. This is because the cloud environment requires a completely new architectural mindset: to truly realize the value of the cloud, it is necessary to leverage cloud-native capabilities such as elastic scaling, serverless computing, and managed services.

But moving to the cloud itself is not success. The real challenge lies in: how to achieve a high-performance, low-cost, and scalable cloud architecture system while ensuring stability and security.

Stability and Security are non-negotiable bottom lines. Any downtime or data breach can bring huge economic losses and reputational damage to an enterprise
High Performance means the system must support business peaks, such as thousands or even tens of thousands of requests per second during e-commerce promotions
Low Cost requires high resource utilization without idle waste
Scalability ensures that when business grows 10 times or 100 times, the architecture does not need to be rebuilt from scratch, but can be smoothly expanded by simply adding resources

The core value of Magicsoft lies in designing cloud architecture systems for enterprises that achieve optimal balance in these four dimensions, based on AWS's rich cloud service components and our years of architectural practice

Magicsoft's AWS Cloud Consulting Solution provides a complete set of cloud capability building services, from architecture design and migration implementation to continuous optimization, to meet the needs of enterprises at different stages.

Enterprises at different stages have different cloud needs:

Startups may only need a few servers to run core applications, focusing more on rapid deployment and low cost
Growth-stage enterprises need to handle business fluctuations and begin to focus on elastic scaling and high availability
Mature enterprises pursue cloud-native capabilities such as global deployment, microservice transformation, and DevOps pipelines

Magicsoft's AWS Solution is not a fixed template, but a customized implementation path based on the enterprise's stage, business characteristics, and budget. We provide end-to-end services: from pre-consultation (current situation assessment, architecture design), to mid-term implementation (migration deployment, configuration optimization), to post-operation (monitoring and alerting, cost management, continuous iteration), accompanying enterprises throughout the process to ensure every step is stable and valuable.

I. Overall Cloud Architecture Path

We break down the enterprise cloud migration process into a clear implementation path:

Current Situation Assessment → Architecture Design → Cloud Migration → Optimization and Adjustment → Continuous Operation and Maintenance → Cost Optimization

Step 1: Current Situation Assessment. We conduct a detailed survey of the enterprise's existing IT assets, including the number and configuration of servers, operating systems, middleware, databases, application dependencies, data volume, network topology, etc. We also evaluate business indicators such as peak QPS, average response time, and data growth rate.

Step 2: Architecture Design. Based on the assessment results and the characteristics of AWS cloud services, we design a highly available, scalable, and secure cloud architecture. We will output detailed documents such as architecture diagrams, component selection instructions, network plans, and security policies.

Step 3: Cloud Migration. We formulate a migration plan, usually adopting a phased, low-risk approach, such as migrating non-core systems first and then core systems; or building a disaster recovery environment first and then switching production traffic.

Step 4: Optimization and Adjustment. Migration completion is not the end but the beginning. We will adjust instance specifications, scaling strategies, cache configurations, etc., based on actual operating data, to continuously optimize performance and costs.

Step 5: Continuous Operation and Maintenance. We establish a monitoring and alerting system, set thresholds for key indicators (CPU, memory, disk, network, error rate), conduct automatic 7x24-hour inspections, and notify promptly in case of anomalies.

Step 6: Cost Optimization. We regularly analyze bills to identify resource waste, and use strategies such as reserved instances, spot instances, and storage tiering to continuously reduce cloud expenditures.

These six steps form a closed loop, ensuring that the cloud environment always remains healthy, economical, and efficient

II. Core Service System (Productized Capabilities)

Module	Service Content	Core Value
Cloud Architecture Design	AWS architecture planning	Stability and scalability
Cloud Migration	System migration and deployment	Fast launch
Cost Optimization	Resource optimization and configuration	Reduce cloud costs
Security System	Cloud security design	Data and system security
Operation and Maintenance System	Monitoring and operation	Stable operation
DevOps	Automated deployment	Improve efficiency

These service modules can be provided individually or combined into a complete project. For example:
For enterprises new to AWS, we may first conduct cloud architecture design and then assist with cloud migration
For enterprises already on the cloud but with cost overruns, we focus on cost optimization services

Each module has standardized deliverables:

The architecture design module outputs architecture design documents, component configuration lists, and network topology diagrams
The migration module outputs migration plans, rollback schemes, and verification reports
The cost optimization module outputs cost analysis reports, optimization suggestion lists, and implementation effect evaluations
The security module outputs security baseline inspection reports, IAM policy recommendations, and encryption schemes
The operation and maintenance module outputs monitoring dashboards, alert rules, and fault handling manuals
The DevOps module outputs CI/CD pipeline configurations, automated scripts, and release process specifications

III. Common Problems in Enterprise Cloud Migration

In actual business operations, many enterprises encounter the following problems when using cloud services:

Unreasonable Architecture → Excessive Costs
Resource Waste → Uncontrolled Cloud Expenses
Unstable System → Frequent Downtime
Lack of Monitoring → Problems Cannot Be Detected in Advance
Low Deployment Efficiency → Slow Iteration

Unreasonable architecture is the root cause. Many enterprises directly move monolithic applications from physical machines to EC2 (Elastic Compute Cloud) instances in the cloud without splitting them into microservices, using RDS (Relational Database Service) for managed databases, or configuring elastic scaling. The result is: to handle occasional business peaks, dozens of large-specification EC2 instances are running year-round, with CPU utilization less than 10% most of the time, but paying 100% of the costs.

Resource waste is specifically manifested in:

Storage: Keeping a large amount of old data that is no longer accessed on expensive SSDs
Network: Cross-availability zone traffic is not optimized, generating additional costs
Instances: Using oversized specifications or not utilizing spot instances

System instability often occurs because multi-availability zone deployment is not implemented. Once an availability zone experiences a failure (such as network interruption or power failure), the entire service becomes unavailable.

Lack of monitoring leads to delayed problem detection, often only discovering system issues after user complaints, resulting in passive firefighting.

Low deployment efficiency is reflected in: each launch requires operation and maintenance personnel to manually log in to servers, pull code, compile, and restart, which is error-prone and time-consuming, making rapid iteration impossible.

Magicsoft's AWS Solution has corresponding best practices and toolchains for each problem, helping enterprises systematically eliminate these pain points

IV. Core Structure of the Solution

Magicsoft's AWS Solution emphasizes "architecture design first" to solve problems at the source:

Reasonable Architecture → Stable System  
Automatic Scaling → Handle Peaks  
Monitoring System → Early Warning  
Cost Control → Improve ROI

"Architecture design first" means we do not accept the idea of "moving to the cloud casually first and optimizing later", because once the architecture is finalized, the cost of subsequent transformation is extremely high. We spend sufficient time in the pre-design phase to ensure the architecture complies with AWS best practices.

Core elements of a reasonable architecture include:

Using load balancing to distribute traffic to multiple EC2 instances or containers
Using multi-availability zone master-slave or cluster mode for databases
Storing static resources in S3 and accelerating with CloudFront CDN
Using Auto Scaling groups to dynamically adjust the number of instances based on CPU usage or request count

Automatic scaling capability allows the system to automatically increase instances during peaks such as Double 11 and decrease them during troughs, ensuring both performance and cost control.

The monitoring system includes not only basic resource monitoring but also application layer monitoring (such as response time and error rate) and business monitoring (such as order volume and payment success rate). It implements three-dimensional monitoring through tools like CloudWatch and X-Ray, and sets up intelligent alerts to issue warnings before problems affect users.

Cost control is achieved through tools such as AWS Cost Explorer and Trusted Advisor to regularly analyze expenditure trends, identify waste, and provide optimization suggestions.

These four elements complement each other, jointly building a robust cloud operating environment

V. Core Capability Modules (In-depth Breakdown)

1. Cloud Architecture Design Capability (Foundation Core)

Based on the AWS cloud platform, we design highly available and scalable system architectures for enterprises:

Architecture Capabilities:

✔ Multi-availability zone deployment (high availability)
✔ Elastic scaling (Auto Scaling)
✔ Load balancing (ELB)
✔ Distributed architecture design

Single-machine Architecture → Cluster Architecture → Distributed Architecture → Cloud-native Architecture

Implementation：
Unstable System → Highly Available System → Scalable System

Single-machine Architecture: Only one server, with all applications and databases running on it. If this server fails, the entire system stops working
Cluster Architecture: Distributes traffic to multiple servers through load balancing, and the database is independent. Any single server failure does not affect overall service
Distributed Architecture: Further splits applications into multiple microservices, each of which can be independently deployed and scaled. Databases also use sharding or read-write separation
Cloud-native Architecture: Fully utilizes AWS managed services, such as using Lambda serverless functions, API Gateway, DynamoDB, etc. No need to care about servers at all, just write business code

Magicsoft recommends the appropriate architecture level based on factors such as the enterprise's business scale, team capabilities, and budget, and provides an evolution path. For example, startups can adopt cluster architecture and gradually evolve to distributed and cloud-native architectures as their business grows

2. Cloud Migration Capability (Key to Implementation)

Helping enterprises smoothly migrate from local servers or other cloud platforms to AWS:

Migration Capabilities:

Type	Content
Application Migration	System deployment migration
Data Migration	Database migration
Architecture Migration	Architecture refactoring and optimization
Hybrid Cloud	Local + cloud combination

Local System → Cloud Environment → Optimized Architecture → Stable Operation

Advantages：
✔ Smooth migration (no business interruption)
✔ Data security guarantee
✔ Performance optimization after migration

Migration is a high-risk and high-complexity task. Magicsoft uses a proven migration methodology.

First, we conduct a detailed pre-migration assessment, sort out application dependencies, and determine the migration order. For stateless services such as Web applications and API services, we can use the "blue-green deployment" method: set up an identical new environment on AWS, and after testing passes, switch traffic to the new environment all at once or gradually by modifying DNS or load balancing configurations.

For stateful databases, we use AWS DMS (Database Migration Service) for online migration, which supports both homogeneous (such as MySQL to MySQL) and heterogeneous (such as Oracle to Aurora) migrations, and can maintain data synchronization until the switch window, when we briefly stop writes to complete the final switch.

For core systems that cannot be migrated all at once, we can adopt a hybrid cloud model: keep some business on-premises and move some to the cloud, with interconnection through dedicated lines or VPN, and gradually transition.

Throughout the migration process, we ensure data integrity and business continuity. After migration is complete, we also conduct stress testing and performance tuning to ensure the new environment is faster and more stable than the old one.

3. Cost Optimization Capability (Core Enterprise Concern)

The advantage of cloud services lies in their flexibility, but without optimization, costs can grow rapidly.

Optimization Strategies:

✔ Resource on-demand allocation
✔ Auto Scaling (avoid waste)
✔ Storage optimization
✔ Billing model optimization

Resource Waste → Refined Configuration → Cost Reduction

Results Achieved：
→ Cloud costs reduced by 30%+ (typical scenarios)
→ Resource utilization improved
→ ROI increased

Cost optimization is a strong suit of Magicsoft. We have a complete cost optimization framework.

First is "resource on-demand allocation": many enterprises are accustomed to configuring servers with overly high specifications (such as 16 cores and 64GB of memory), while actual CPU utilization is consistently below 10%. We analyze actual usage through CloudWatch monitoring and recommend appropriate instance specifications, typically reducing instance costs by 30-50%.

Second is "Auto Scaling": configure Auto Scaling groups with CPU thresholds (such as adding instances when CPU exceeds 60% and reducing instances when below 30%), so that only a small number of instances are needed during normal times, and automatic scaling occurs during peaks.

Third is "storage optimization": migrate infrequently accessed data (such as logs and backups) from SSD-type EBS to S3 Standard-Infrequent Access or Glacier Deep Archive, which can reduce costs by over 80%.

Fourth is "billing model optimization": for long-running stable workloads, recommend purchasing reserved instances (1-year or 3-year terms), which can save 40-60% compared to on-demand instances; for interruptible batch processing tasks, use spot instances, which can reduce costs by 60-90%.

In addition, we regularly review bills to identify "zombie resources" such as unused EBS volumes, idle load balancers, and unassociated elastic IPs, and clean them up in a timely manner. With this combination of strategies, we help most customers achieve cost reductions of over 30%.

4. High Availability and Disaster Recovery Capability (Stability Guarantee)

System stability is one of the core needs of enterprises.

Core Capabilities:

Capability	Description
Multi-availability zone deployment	Prevent single points of failure
Automatic backup	Data security
Disaster recovery mechanism	Rapid recovery
Failover	Ensure business continuity

Normal Operation → Failure → Automatic Switch → Continuous Operation

Implementation：
Uncontrollable Downtime → Highly Available System → Continuous Operation Capability

High Availability (HA) means the system can continue to provide services even when some components fail. Each AWS Region has multiple Availability Zones, which are physically isolated but connected with low-latency networks. We deploy applications and databases in at least two Availability Zones and use load balancing to distribute traffic. When one Availability Zone becomes unavailable due to power failure, network outage, or natural disaster, the load balancer automatically switches all traffic to another Availability Zone, with almost no user perception.

For databases, we use RDS's multi-availability zone deployment mode, which automatically maintains a synchronized standby database. When the primary database fails, it automatically switches to the standby database, typically within one minute.

Disaster Recovery (DR) is a higher level, targeting scenarios where an entire region fails. We help enterprises deploy disaster recovery environments in another region, maintain data synchronization through cross-region replication (such as S3 cross-region replication and RDS cross-region snapshots), and implement traffic switching through Route 53's DNS failover. RTO (Recovery Time Objective) and RPO (Recovery Point Objective) can be designed based on business importance, ranging from minutes to hours.

With this high availability and disaster recovery design, enterprises can reduce annual downtime from hours to minutes, achieving 99.9% or even 99.99% availability

5. Security System Capability (Foundation of Enterprise Trust)

In the cloud environment, security must be designed systematically:

Security Capabilities:

✔ Network isolation (VPC)
✔ Permission control (IAM)
✔ Data encryption
✔ Security audit and monitoring

External Attack → Protection → Monitoring → Warning → Response

Value Brought：
→ Data security
→ System security
→ Compliance capability

AWS follows the "Shared Responsibility Model": AWS is responsible for "security of the cloud" (physical security, infrastructure security), while customers are responsible for "security in the cloud" (operating systems, applications, data). Magicsoft helps customers do a good job of "security in the cloud".

In terms of network isolation: We use VPC (Virtual Private Cloud) to isolate resources in independent network spaces, and implement fine-grained access control through security groups and network ACLs, only opening necessary ports (such as 80 and 443), and prohibiting direct public network access to databases.

In terms of permission control: Strictly follow the principle of least privilege, use IAM to assign different policies to different roles (development, operation and maintenance, audit), and avoid using root accounts for daily operations.

In terms of data encryption: Enable encryption for static data stored in EBS, S3, and RDS, and enforce TLS for data in transit.

In terms of security audit and monitoring: Enable CloudTrail to record all API calls, use GuardDuty for threat detection, and use Security Hub for security compliance checks. We also regularly conduct security vulnerability scanning and penetration testing to help customers meet compliance requirements such as GB/T 22239, GDPR, and PCI-DSS.

Through these measures, the enterprise's cloud environment can achieve financial-grade security level

6. DevOps and Automation Capability (Core of Efficiency)

Modern enterprises must have rapid iteration capabilities.

Core Capabilities:

✔ Automated deployment (CI/CD)
✔ Continuous integration and delivery
✔ Automated testing
✔ Environment management

Development → Testing → Deployment → Release → Monitoring

Implementation：
Manual Deployment → Automated Deployment → Continuous Delivery

DevOps is a culture and practice aimed at shortening the cycle from code submission to launch while improving quality. Magicsoft helps enterprises build complete CI/CD pipelines on AWS.

Typically, we use AWS CodeCommit (or GitHub) as the code repository, CodeBuild for automated building and unit testing, CodeDeploy or ECS for deployment, and CodePipeline to orchestrate the entire process. When a developer pushes code to a specific branch (such as main), the Pipeline is automatically triggered: pull code, run tests, build images, deploy to the test environment, run integration tests, and finally deploy to the production environment. The entire process requires no manual intervention, and each deployment is consistent and repeatable.

We also support blue-green deployment and canary release: the new version is first deployed to a small number of instances, and after verification, it is gradually rolled out to all instances. If problems occur, it can be quickly rolled back.

In terms of environment management: Use Infrastructure as Code tools (such as Terraform or AWS CloudFormation) to describe the configuration of resources such as networks, servers, and databases with code, manage versions, and create, update, or destroy environments with one click, ensuring consistency between development, testing, and production environments.

Through DevOps capabilities, enterprises can increase the frequency of releases from once a month to multiple times a day, and the failure rate is significantly reduced

VII. Applicable Business Scenarios

Scenario	Solution
E-commerce Platform	High-concurrency architecture + automatic scaling
Financial System	High security + high availability
SaaS Platform	Multi-tenant architecture
Cross-border Business	Global node deployment

E-commerce Platform: Business traffic fluctuates greatly, especially during promotional activities. We design high-concurrency architectures, use CloudFront CDN to accelerate static resources, use ElastiCache to cache sessions and popular data, use RDS read replicas to share query pressure, and coordinate with Auto Scaling to handle traffic spikes.

Financial System: Security and compliance are top priorities. We deploy core services in private subnets, connect to the enterprise's internal network through Direct Connect or VPN, enable CloudTrail and Config for auditing, use KMS to encrypt sensitive data, and design cross-region disaster recovery.

SaaS Platform: Multi-tenant isolation is key. We can adopt solutions such as shared database with table-level isolation or separate database instance isolation, use IAM and resource tags to implement tenant permission management, and leverage AWS Marketplace for subscription and metering.

Cross-border Business: Requires deployment of nodes in multiple global regions. Use Route 53's latency routing to direct user requests to the nearest region, and use global databases (such as Aurora Global Database) to achieve cross-region data synchronization.

No matter which scenario, Magicsoft has mature reference architectures and implementation experience

VIII. Capability Evolution Path (Enterprise Growth Perspective)

   On-premises Deployment
      ↓
   Basic Cloud Migration
      ↓
   Cloud Architecture Optimization
      ↓
   Cloud-native Architecture
      ↓
   Automation and Intelligent Operation

On-premises Deployment Stage: Enterprises have physical servers or virtualization platforms, with complex management and difficult expansion
Basic Cloud Migration Stage: Migrate applications to AWS EC2, use some managed services such as RDS and S3, but still retain a lot of operation and maintenance work
Cloud Architecture Optimization Stage: Start using elastic scaling, load balancing, and multi-availability zone deployment, making the architecture more elastic
Cloud-native Architecture Stage: Widely use containers (ECS/EKS), serverless (Lambda), and managed databases (Aurora Serverless). The R&D team focuses on business code and almost does not care about infrastructure
Automation and Intelligent Operation Stage: Achieve CI/CD, automatic scaling, automatic fault recovery, intelligent alerting, and automatic cost optimization. Operation and maintenance personnel transform from "firefighters" to "optimization engineers"

Magicsoft can help enterprises determine their current stage based on their own development stage and plan the goals and paths for the next stage

IX. Core Advantages (Enhance Competitiveness)

✔ Deep Understanding of AWS Architecture System: Familiar with over 200 AWS services, knowing which services are suitable for which scenarios and which service combinations can produce 1+1>2 effects. We hold AWS Solutions Architect certification (professional level) and have extensive practical experience
✔ Design Cloud Architecture from a Business Perspective: Rather than using new technologies for the sake of using them. For example, for a small internal system, we may recommend a simple EC2+RDS solution instead of a complex microservice+container solution to avoid over-engineering
✔ Outstanding Cost Optimization Capability: Can help customers save an average of more than 30% on cloud expenses. Many customers feedback that the cost optimization alone has recouped the consulting fees
✔ Support High Concurrency and Global Deployment: The architecture design can easily support tens of thousands of requests per second and can be extended to multiple global regions, providing infrastructure support for enterprises going global

X. Final Capabilities Gained by Customers

From the enterprise perspective, customers gain:

System Stability → Cost Control → Flexible Expansion → Efficient Delivery

System Stability: Means uninterrupted business, high customer trust, and the team does not need to get up in the middle of the night to handle failures
Cost Control: Means monthly cloud bills are predictable, with no unexpected large expenditures, and as business grows, costs grow linearly rather than exponentially
Flexible Expansion: Means when business volume doubles, there is no need to modify code; just adjust the maximum number of instances in Auto Scaling, and the system automatically scales up
Efficient Delivery: Means the cycle from development to launch of new features is greatly shortened, allowing enterprises to respond to market changes faster and seize opportunities

These four capabilities are exactly the core IT competitiveness that modern digital enterprises need most

XI. Summary (Enhance Conversion)

Magicsoft's AWS Cloud Consulting Solution not only helps enterprises "move to the cloud" but also helps them build a cloud-based technical system with:

👉 Highly Available Architecture
👉 High-Performance System
👉 Low-Cost Operation
👉 Continuous Delivery Capability

We provide a comprehensive solution of "Technology + Service + Methodology":

Technology: Mature architecture templates, automated scripts, and monitoring dashboards
Service: Senior architects follow up throughout the process, provide training and knowledge transfer
Methodology: Standardized assessment, design, migration, and optimization processes that are replicable and measurable

Through Magicsoft's AWS Solution, enterprises can focus their energy on business innovation rather than being dragged down by infrastructure issues

Final Achievement:

Traditional IT → Cloudified IT → Cloud-native Architecture → Efficient Technology Platform

If you are considering moving to the cloud, or are already on the cloud but facing issues such as high costs, poor stability, or low efficiency, welcome to contact Magicsoft's AWS Cloud Consulting Consultants. We can provide you with a free cloud health check to assess the maturity of your current architecture and output an assessment report including improvement suggestions and expected benefits.

Let Magicsoft be your navigator on your cloud journey, helping you fully realize the value of the cloud and accelerate business growth